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Laboratory of Oceanography of Villefranche | Villefranche sur Mer, Provence Alpes Cote d Azur | France | 24 days ago
consolidator UNIVOC project, the CNRS is seeking an enthusiastic postdoc specialized in atmospheric sciences. Global change is compromising the Ocean and Human Health by favoring the development of Harmful Algal
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development and function under the guidance of scientific mentor in the Department of Microbial Infection & Immunity; designs, conducts, and evaluates research experiments; plans and executes advanced cellular
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with approximately seventy staff and research students. CfAI’s mission is to design and develop novel instrumentation based on cutting edge technologies. CfAI develops state-of-the-art ground and space
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of medicine and therapeutics within the Department of Pharmacology and Therapeutics based in the Institute of Systems, Molecular and Integrative Biology. This programme aims to develop causal inference models
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regulatory decision-making around the implementation of these technologies. A key component of the work will involve developing an ex-ante economic model to identify cost-effective strategies for implementing
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processes . Each postdoc will lead their own independent research direction, with an opportunity for close collaborative work. Main duties and responsibilities You will develop an acquisition and
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will help identify and develop new research directions, contribute to the development of course modules and instructional materials, assist with proposal preparation, and support project management and
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addition to developing or tailoring analytical tools and resources. The Postdoctoral Researcher will also prepare manuscripts and presentations, and attend scientific seminars. The postholder will work closely with
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University of Twente, and Maastricht University. Working closely with a PhD candidate and the project's supervisory team, you will design, train, and iteratively refine the CLARA AI agent — bridging cutting
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modification, and device integration. • Conduct experimental evaluation of device performance using biological samples and laboratory models. • Assist in the development of embedded systems, data